Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue
Response Models

Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models

16 October 2019

Tianxing He

Jun Liu

Papers citing "Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models"

6 / 6 papers shown

Title
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo Dongha Lee Jinyoung Yeo CLL KELM 82 1 0 24 Jul 2024
Multi-VQG: Generating Engaging Questions for Multiple Images Min-Hsuan Yeh Vicent Chen Ting-Hao Haung Lun-Wei Ku CoGe 15 7 0 14 Nov 2022
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems Fei Mi Liangwei Chen Mengjie Zhao Minlie Huang Boi Faltings CLL KELM 17 68 0 02 Oct 2020
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents Kurt Shuster Da Ju Stephen Roller Emily Dinan Y-Lan Boureau Jason Weston 12 81 0 09 Nov 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,584 0 03 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015